| 引用本文: | 黄 敏,朱启兵,崔宝同.基于小波神经网络的板形板厚系统解耦预测控制[J].控制理论与应用,2008,25(6):1027~1031.[点击复制] |
| HUANG Min,ZHU Qi-bing,CUI Bao-tong.Strip flatness and gauge decoupling predictive control based on wavelet neural networks[J].Control Theory and Technology,2008,25(6):1027~1031.[点击复制] |
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| 基于小波神经网络的板形板厚系统解耦预测控制 |
| Strip flatness and gauge decoupling predictive control based on wavelet neural networks |
| 摘要点击 1510 全文点击 1009 投稿时间：2007-04-18 修订日期：2008-05-15 |
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| DOI编号 |
| 2008,25(6):1027-1031 |
| 中文关键词 小波神经网络 板形板厚系统 逆系统 预测控制 |
| 英文关键词 wavelet neural networks AFC-AGC inverse system predictive control |
| 基金项目 国家自然科学基金资助项目(60674026); 江苏省自然科学基金资助项目(BK2007017). |
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| 中文摘要 |
| 带材轧制是一个复杂的非线性过程, 板形控制和板厚控制又是强耦合、非线性、含时延环节的复杂系统. 提出了一种基于小波神经网络的解耦预测控制方案; 利用小波神经网络来辨识原系统的α阶时延逆系统, 将该逆系统与原系统串联后形成一个伪线性复合系统, 从而把多变量系统控制转化为多个单变量系统的控制实现了系统解耦, 并对解耦后的系统采用闭环预测控制. 仿真表明该控制方法具有结构简单、易于实现, 且有较强的抗扰性和鲁棒性. |
| 英文摘要 |
| Strip rolling is a very complicated nonlinear process. Automatic flatness-control(AFC) and automatic gaugecontrol(AGC) are nonlinear, time-delay and coupling systems. A novel decoupling predictive control method of AFC-AGC is developed. Wavelet neural networks(WNN) is used to identify the α-th order time-delay inverse system. This inverse system is connected in series with the AFC-AGC system to form a pseudo-linear system, thus, transforming the control of the MIMO nonlinear system into the control of a number of SISO systems and achieving a decoupling system. Predictive control is adopted for the decoupled system. Simulation results indicate that this method is simple and convenient for application, and able to resist the disturbance and improve the robustness. |
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